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19 changed files with 310 additions and 139 deletions

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@ -34,7 +34,7 @@
#pragma push_macro("__SYCL_DEVICE_ONLY__")
#undef __SYCL_DEVICE_ONLY__
#define EIGEN_DONT_VECTORIZE
//#undef EIGEN_USE_SYCL
#undef EIGEN_USE_SYCL
#define __SYCL__REDEFINE__
#endif

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@ -293,7 +293,7 @@ static void sncndnFK(INTERNAL_PRECISION u, INTERNAL_PRECISION k,
* Set type = 0 for the Zolotarev approximation, which is zero at x = 0, and
* type = 1 for the approximation which is infinite at x = 0. */
zolotarev_data* zolotarev(PRECISION epsilon, int n, int type) {
zolotarev_data* zolotarev(ZOLO_PRECISION epsilon, int n, int type) {
INTERNAL_PRECISION A, c, cp, kp, ksq, sn, cn, dn, Kp, Kj, z, z0, t, M, F,
l, invlambda, xi, xisq, *tv, s, opl;
int m, czero, ts;
@ -375,12 +375,12 @@ zolotarev_data* zolotarev(PRECISION epsilon, int n, int type) {
construct_partfrac(d);
construct_contfrac(d);
/* Converting everything to PRECISION for external use only */
/* Converting everything to ZOLO_PRECISION for external use only */
zd = (zolotarev_data*) malloc(sizeof(zolotarev_data));
zd -> A = (PRECISION) d -> A;
zd -> Delta = (PRECISION) d -> Delta;
zd -> epsilon = (PRECISION) d -> epsilon;
zd -> A = (ZOLO_PRECISION) d -> A;
zd -> Delta = (ZOLO_PRECISION) d -> Delta;
zd -> epsilon = (ZOLO_PRECISION) d -> epsilon;
zd -> n = d -> n;
zd -> type = d -> type;
zd -> dn = d -> dn;
@ -390,24 +390,24 @@ zolotarev_data* zolotarev(PRECISION epsilon, int n, int type) {
zd -> deg_num = d -> deg_num;
zd -> deg_denom = d -> deg_denom;
zd -> a = (PRECISION*) malloc(zd -> dn * sizeof(PRECISION));
for (m = 0; m < zd -> dn; m++) zd -> a[m] = (PRECISION) d -> a[m];
zd -> a = (ZOLO_PRECISION*) malloc(zd -> dn * sizeof(ZOLO_PRECISION));
for (m = 0; m < zd -> dn; m++) zd -> a[m] = (ZOLO_PRECISION) d -> a[m];
free(d -> a);
zd -> ap = (PRECISION*) malloc(zd -> dd * sizeof(PRECISION));
for (m = 0; m < zd -> dd; m++) zd -> ap[m] = (PRECISION) d -> ap[m];
zd -> ap = (ZOLO_PRECISION*) malloc(zd -> dd * sizeof(ZOLO_PRECISION));
for (m = 0; m < zd -> dd; m++) zd -> ap[m] = (ZOLO_PRECISION) d -> ap[m];
free(d -> ap);
zd -> alpha = (PRECISION*) malloc(zd -> da * sizeof(PRECISION));
for (m = 0; m < zd -> da; m++) zd -> alpha[m] = (PRECISION) d -> alpha[m];
zd -> alpha = (ZOLO_PRECISION*) malloc(zd -> da * sizeof(ZOLO_PRECISION));
for (m = 0; m < zd -> da; m++) zd -> alpha[m] = (ZOLO_PRECISION) d -> alpha[m];
free(d -> alpha);
zd -> beta = (PRECISION*) malloc(zd -> db * sizeof(PRECISION));
for (m = 0; m < zd -> db; m++) zd -> beta[m] = (PRECISION) d -> beta[m];
zd -> beta = (ZOLO_PRECISION*) malloc(zd -> db * sizeof(ZOLO_PRECISION));
for (m = 0; m < zd -> db; m++) zd -> beta[m] = (ZOLO_PRECISION) d -> beta[m];
free(d -> beta);
zd -> gamma = (PRECISION*) malloc(zd -> n * sizeof(PRECISION));
for (m = 0; m < zd -> n; m++) zd -> gamma[m] = (PRECISION) d -> gamma[m];
zd -> gamma = (ZOLO_PRECISION*) malloc(zd -> n * sizeof(ZOLO_PRECISION));
for (m = 0; m < zd -> n; m++) zd -> gamma[m] = (ZOLO_PRECISION) d -> gamma[m];
free(d -> gamma);
free(d);
@ -426,7 +426,7 @@ void zolotarev_free(zolotarev_data *zdata)
}
zolotarev_data* higham(PRECISION epsilon, int n) {
zolotarev_data* higham(ZOLO_PRECISION epsilon, int n) {
INTERNAL_PRECISION A, M, c, cp, z, z0, t, epssq;
int m, czero;
zolotarev_data *zd;
@ -481,9 +481,9 @@ zolotarev_data* higham(PRECISION epsilon, int n) {
/* Converting everything to PRECISION for external use only */
zd = (zolotarev_data*) malloc(sizeof(zolotarev_data));
zd -> A = (PRECISION) d -> A;
zd -> Delta = (PRECISION) d -> Delta;
zd -> epsilon = (PRECISION) d -> epsilon;
zd -> A = (ZOLO_PRECISION) d -> A;
zd -> Delta = (ZOLO_PRECISION) d -> Delta;
zd -> epsilon = (ZOLO_PRECISION) d -> epsilon;
zd -> n = d -> n;
zd -> type = d -> type;
zd -> dn = d -> dn;
@ -493,24 +493,24 @@ zolotarev_data* higham(PRECISION epsilon, int n) {
zd -> deg_num = d -> deg_num;
zd -> deg_denom = d -> deg_denom;
zd -> a = (PRECISION*) malloc(zd -> dn * sizeof(PRECISION));
for (m = 0; m < zd -> dn; m++) zd -> a[m] = (PRECISION) d -> a[m];
zd -> a = (ZOLO_PRECISION*) malloc(zd -> dn * sizeof(ZOLO_PRECISION));
for (m = 0; m < zd -> dn; m++) zd -> a[m] = (ZOLO_PRECISION) d -> a[m];
free(d -> a);
zd -> ap = (PRECISION*) malloc(zd -> dd * sizeof(PRECISION));
for (m = 0; m < zd -> dd; m++) zd -> ap[m] = (PRECISION) d -> ap[m];
zd -> ap = (ZOLO_PRECISION*) malloc(zd -> dd * sizeof(ZOLO_PRECISION));
for (m = 0; m < zd -> dd; m++) zd -> ap[m] = (ZOLO_PRECISION) d -> ap[m];
free(d -> ap);
zd -> alpha = (PRECISION*) malloc(zd -> da * sizeof(PRECISION));
for (m = 0; m < zd -> da; m++) zd -> alpha[m] = (PRECISION) d -> alpha[m];
zd -> alpha = (ZOLO_PRECISION*) malloc(zd -> da * sizeof(ZOLO_PRECISION));
for (m = 0; m < zd -> da; m++) zd -> alpha[m] = (ZOLO_PRECISION) d -> alpha[m];
free(d -> alpha);
zd -> beta = (PRECISION*) malloc(zd -> db * sizeof(PRECISION));
for (m = 0; m < zd -> db; m++) zd -> beta[m] = (PRECISION) d -> beta[m];
zd -> beta = (ZOLO_PRECISION*) malloc(zd -> db * sizeof(ZOLO_PRECISION));
for (m = 0; m < zd -> db; m++) zd -> beta[m] = (ZOLO_PRECISION) d -> beta[m];
free(d -> beta);
zd -> gamma = (PRECISION*) malloc(zd -> n * sizeof(PRECISION));
for (m = 0; m < zd -> n; m++) zd -> gamma[m] = (PRECISION) d -> gamma[m];
zd -> gamma = (ZOLO_PRECISION*) malloc(zd -> n * sizeof(ZOLO_PRECISION));
for (m = 0; m < zd -> n; m++) zd -> gamma[m] = (ZOLO_PRECISION) d -> gamma[m];
free(d -> gamma);
free(d);
@ -523,17 +523,17 @@ NAMESPACE_END(Grid);
#ifdef TEST
#undef ZERO
#define ZERO ((PRECISION) 0)
#define ZERO ((ZOLO_PRECISION) 0)
#undef ONE
#define ONE ((PRECISION) 1)
#define ONE ((ZOLO_PRECISION) 1)
#undef TWO
#define TWO ((PRECISION) 2)
#define TWO ((ZOLO_PRECISION) 2)
/* Evaluate the rational approximation R(x) using the factored form */
static PRECISION zolotarev_eval(PRECISION x, zolotarev_data* rdata) {
static ZOLO_PRECISION zolotarev_eval(ZOLO_PRECISION x, zolotarev_data* rdata) {
int m;
PRECISION R;
ZOLO_PRECISION R;
if (rdata -> type == 0) {
R = rdata -> A * x;
@ -551,9 +551,9 @@ static PRECISION zolotarev_eval(PRECISION x, zolotarev_data* rdata) {
/* Evaluate the rational approximation R(x) using the partial fraction form */
static PRECISION zolotarev_partfrac_eval(PRECISION x, zolotarev_data* rdata) {
static ZOLO_PRECISION zolotarev_partfrac_eval(ZOLO_PRECISION x, zolotarev_data* rdata) {
int m;
PRECISION R = rdata -> alpha[rdata -> da - 1];
ZOLO_PRECISION R = rdata -> alpha[rdata -> da - 1];
for (m = 0; m < rdata -> dd; m++)
R += rdata -> alpha[m] / (x * x - rdata -> ap[m]);
if (rdata -> type == 1) R += rdata -> alpha[rdata -> dd] / (x * x);
@ -568,18 +568,18 @@ static PRECISION zolotarev_partfrac_eval(PRECISION x, zolotarev_data* rdata) {
* non-signalling overflow this will work correctly since 1/(1/0) = 1/INF = 0,
* but with signalling overflow you will get an error message. */
static PRECISION zolotarev_contfrac_eval(PRECISION x, zolotarev_data* rdata) {
static ZOLO_PRECISION zolotarev_contfrac_eval(ZOLO_PRECISION x, zolotarev_data* rdata) {
int m;
PRECISION R = rdata -> beta[0] * x;
ZOLO_PRECISION R = rdata -> beta[0] * x;
for (m = 1; m < rdata -> db; m++) R = rdata -> beta[m] * x + ONE / R;
return R;
}
/* Evaluate the rational approximation R(x) using Cayley form */
static PRECISION zolotarev_cayley_eval(PRECISION x, zolotarev_data* rdata) {
static ZOLO_PRECISION zolotarev_cayley_eval(ZOLO_PRECISION x, zolotarev_data* rdata) {
int m;
PRECISION T;
ZOLO_PRECISION T;
T = rdata -> type == 0 ? ONE : -ONE;
for (m = 0; m < rdata -> n; m++)
@ -607,7 +607,7 @@ int main(int argc, char** argv) {
int m, n, plotpts = 5000, type = 0;
float eps, x, ypferr, ycferr, ycaylerr, maxypferr, maxycferr, maxycaylerr;
zolotarev_data *rdata;
PRECISION y;
ZOLO_PRECISION y;
FILE *plot_function, *plot_error,
*plot_partfrac, *plot_contfrac, *plot_cayley;
@ -626,13 +626,13 @@ int main(int argc, char** argv) {
}
rdata = type == 2
? higham((PRECISION) eps, n)
: zolotarev((PRECISION) eps, n, type);
? higham((ZOLO_PRECISION) eps, n)
: zolotarev((ZOLO_PRECISION) eps, n, type);
printf("Zolotarev Test: R(epsilon = %g, n = %d, type = %d)\n\t"
STRINGIFY(VERSION) "\n\t" STRINGIFY(HVERSION)
"\n\tINTERNAL_PRECISION = " STRINGIFY(INTERNAL_PRECISION)
"\tPRECISION = " STRINGIFY(PRECISION)
"\tZOLO_PRECISION = " STRINGIFY(ZOLO_PRECISION)
"\n\n\tRational approximation of degree (%d,%d), %s at x = 0\n"
"\tDelta = %g (maximum error)\n\n"
"\tA = %g (overall factor)\n",
@ -681,15 +681,15 @@ int main(int argc, char** argv) {
x = 2.4 * (float) m / plotpts - 1.2;
if (rdata -> type == 0 || fabs(x) * (float) plotpts > 1.0) {
/* skip x = 0 for type 1, as R(0) is singular */
y = zolotarev_eval((PRECISION) x, rdata);
y = zolotarev_eval((ZOLO_PRECISION) x, rdata);
fprintf(plot_function, "%g %g\n", x, (float) y);
fprintf(plot_error, "%g %g\n",
x, (float)((y - ((x > 0.0 ? ONE : -ONE))) / rdata -> Delta));
ypferr = (float)((zolotarev_partfrac_eval((PRECISION) x, rdata) - y)
ypferr = (float)((zolotarev_partfrac_eval((ZOLO_PRECISION) x, rdata) - y)
/ rdata -> Delta);
ycferr = (float)((zolotarev_contfrac_eval((PRECISION) x, rdata) - y)
ycferr = (float)((zolotarev_contfrac_eval((ZOLO_PRECISION) x, rdata) - y)
/ rdata -> Delta);
ycaylerr = (float)((zolotarev_cayley_eval((PRECISION) x, rdata) - y)
ycaylerr = (float)((zolotarev_cayley_eval((ZOLO_PRECISION) x, rdata) - y)
/ rdata -> Delta);
if (fabs(x) < 1.0 && fabs(x) > rdata -> epsilon) {
maxypferr = MAX(maxypferr, fabs(ypferr));

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@ -9,10 +9,10 @@ NAMESPACE_BEGIN(Approx);
#define HVERSION Header Time-stamp: <14-OCT-2004 09:26:51.00 adk@MISSCONTRARY>
#ifndef ZOLOTAREV_INTERNAL
#ifndef PRECISION
#define PRECISION double
#ifndef ZOLO_PRECISION
#define ZOLO_PRECISION double
#endif
#define ZPRECISION PRECISION
#define ZPRECISION ZOLO_PRECISION
#define ZOLOTAREV_DATA zolotarev_data
#endif
@ -77,8 +77,8 @@ typedef struct {
* zolotarev_data structure. The arguments must satisfy the constraints that
* epsilon > 0, n > 0, and type = 0 or 1. */
ZOLOTAREV_DATA* higham(PRECISION epsilon, int n) ;
ZOLOTAREV_DATA* zolotarev(PRECISION epsilon, int n, int type);
ZOLOTAREV_DATA* higham(ZOLO_PRECISION epsilon, int n) ;
ZOLOTAREV_DATA* zolotarev(ZOLO_PRECISION epsilon, int n, int type);
void zolotarev_free(zolotarev_data *zdata);
#endif
@ -86,3 +86,4 @@ void zolotarev_free(zolotarev_data *zdata);
NAMESPACE_END(Approx);
NAMESPACE_END(Grid);
#endif

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@ -34,9 +34,14 @@ Author: Peter Boyle <pboyle@bnl.gov>
#include <hipblas/hipblas.h>
#endif
#ifdef GRID_SYCL
#error // need oneMKL version
#include <oneapi/mkl.hpp>
#endif
#if 0
#define GRID_ONE_MKL
#endif
#ifdef GRID_ONE_MKL
#include <oneapi/mkl.hpp>
#endif
///////////////////////////////////////////////////////////////////////
// Need to rearrange lattice data to be in the right format for a
// batched multiply. Might as well make these static, dense packed
@ -49,9 +54,12 @@ NAMESPACE_BEGIN(Grid);
typedef cudablasHandle_t gridblasHandle_t;
#endif
#ifdef GRID_SYCL
typedef int32_t gridblasHandle_t;
typedef cl::sycl::queue *gridblasHandle_t;
#endif
#if !defined(GRID_SYCL) && !defined(GRID_CUDA) && !defined(GRID_HIP)
#ifdef GRID_ONE_MKL
typedef cl::sycl::queue *gridblasHandle_t;
#endif
#if !defined(GRID_SYCL) && !defined(GRID_CUDA) && !defined(GRID_HIP) && !defined(GRID_ONE_MKL)
typedef int32_t gridblasHandle_t;
#endif
@ -76,6 +84,12 @@ public:
hipblasCreate(&gridblasHandle);
#endif
#ifdef GRID_SYCL
gridblasHandle = theGridAccelerator;
#endif
#ifdef GRID_ONE_MKL
cl::sycl::cpu_selector selector;
cl::sycl::device selectedDevice { selector };
gridblasHandle =new sycl::queue (selectedDevice);
#endif
gridblasInit=1;
}
@ -110,6 +124,9 @@ public:
#endif
#ifdef GRID_SYCL
accelerator_barrier();
#endif
#ifdef GRID_ONE_MKL
gridblasHandle->wait();
#endif
}
@ -644,10 +661,19 @@ public:
(cuDoubleComplex *) Cmn, ldc, sdc,
batchCount);
#endif
#ifdef GRID_SYCL
#warning "oneMKL implementation not made "
#if defined(GRID_SYCL) || defined(GRID_ONE_MKL)
oneapi::mkl::blas::column_major::gemm_batch(*gridblasHandle,
oneapi::mkl::transpose::N,
oneapi::mkl::transpose::N,
m,n,k,
alpha,
(const ComplexD *)Amk,lda,sda,
(const ComplexD *)Bkn,ldb,sdb,
beta,
(ComplexD *)Cmn,ldc,sdc,
batchCount);
#endif
#if !defined(GRID_SYCL) && !defined(GRID_CUDA) && !defined(GRID_HIP)
#if !defined(GRID_SYCL) && !defined(GRID_CUDA) && !defined(GRID_HIP) && !defined(GRID_ONE_MKL)
// Need a default/reference implementation
for (int p = 0; p < batchCount; ++p) {
for (int mm = 0; mm < m; ++mm) {

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@ -35,6 +35,7 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
#include <Grid/lattice/Lattice_transpose.h>
#include <Grid/lattice/Lattice_local.h>
#include <Grid/lattice/Lattice_reduction.h>
#include <Grid/lattice/Lattice_crc.h>
#include <Grid/lattice/Lattice_peekpoke.h>
#include <Grid/lattice/Lattice_reality.h>
#include <Grid/lattice/Lattice_real_imag.h>
@ -46,5 +47,4 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
#include <Grid/lattice/Lattice_unary.h>
#include <Grid/lattice/Lattice_transfer.h>
#include <Grid/lattice/Lattice_basis.h>
#include <Grid/lattice/Lattice_crc.h>
#include <Grid/lattice/PaddedCell.h>

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@ -42,13 +42,13 @@ template<class vobj> void DumpSliceNorm(std::string s,Lattice<vobj> &f,int mu=-1
}
}
template<class vobj> uint32_t crc(Lattice<vobj> & buf)
template<class vobj> uint32_t crc(const Lattice<vobj> & buf)
{
autoView( buf_v , buf, CpuRead);
return ::crc32(0L,(unsigned char *)&buf_v[0],(size_t)sizeof(vobj)*buf.oSites());
}
#define CRC(U) std::cout << "FingerPrint "<<__FILE__ <<" "<< __LINE__ <<" "<< #U <<" "<<crc(U)<<std::endl;
#define CRC(U) std::cerr << "FingerPrint "<<__FILE__ <<" "<< __LINE__ <<" "<< #U <<" "<<crc(U)<<std::endl;
NAMESPACE_END(Grid);

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@ -285,6 +285,7 @@ template<class vobj>
inline ComplexD innerProduct(const Lattice<vobj> &left,const Lattice<vobj> &right) {
GridBase *grid = left.Grid();
ComplexD nrm = rankInnerProduct(left,right);
// std::cerr<<"flight log " << std::hexfloat << nrm <<" "<<crc(left)<<std::endl;
grid->GlobalSum(nrm);
return nrm;
}

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@ -1133,4 +1133,13 @@ static_assert(sizeof(SIMD_Ftype) == sizeof(SIMD_Itype), "SIMD vector lengths inc
NAMESPACE_END(Grid);
#ifdef GRID_SYCL
template<> struct sycl::is_device_copyable<Grid::vComplexF> : public std::true_type {};
template<> struct sycl::is_device_copyable<Grid::vComplexD> : public std::true_type {};
template<> struct sycl::is_device_copyable<Grid::vRealF > : public std::true_type {};
template<> struct sycl::is_device_copyable<Grid::vRealD > : public std::true_type {};
template<> struct sycl::is_device_copyable<Grid::vInteger > : public std::true_type {};
#endif
#endif

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@ -404,3 +404,12 @@ NAMESPACE_BEGIN(Grid);
};
NAMESPACE_END(Grid);
#ifdef GRID_SYCL
template<typename T> struct
sycl::is_device_copyable<T, typename std::enable_if<
Grid::isGridTensor<T>::value && (!std::is_trivially_copyable<T>::value),
void>::type>
: public std::true_type {};
#endif

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@ -255,17 +255,13 @@ inline int acceleratorIsCommunicable(void *ptr)
#define GRID_SYCL_LEVEL_ZERO_IPC
NAMESPACE_END(Grid);
#if 0
#include <CL/sycl.hpp>
#include <CL/sycl/usm.hpp>
#include <level_zero/ze_api.h>
#include <CL/sycl/backend/level_zero.hpp>
#else
// Force deterministic reductions
#define SYCL_REDUCTION_DETERMINISTIC
#include <sycl/CL/sycl.hpp>
#include <sycl/usm.hpp>
#include <level_zero/ze_api.h>
#include <sycl/ext/oneapi/backend/level_zero.hpp>
#endif
NAMESPACE_BEGIN(Grid);

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@ -393,6 +393,9 @@ void Grid_init(int *argc,char ***argv)
std::cout << GridLogMessage << "MPI is initialised and logging filters activated "<<std::endl;
std::cout << GridLogMessage << "================================================ "<<std::endl;
char hostname[HOST_NAME_MAX+1];
gethostname(hostname, HOST_NAME_MAX+1);
std::cout << GridLogMessage << "This rank is running on host "<< hostname<<std::endl;
/////////////////////////////////////////////////////////
// Reporting

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@ -219,7 +219,7 @@ public:
uint64_t NN;
uint64_t lmax=32;
uint64_t lmax=40;
#define NLOOP (1000*lmax*lmax*lmax*lmax/lat/lat/lat/lat)
GridSerialRNG sRNG; sRNG.SeedFixedIntegers(std::vector<int>({45,12,81,9}));
@ -454,11 +454,17 @@ public:
pickCheckerboard(Even,src_e,src);
pickCheckerboard(Odd,src_o,src);
const int num_cases = 1;
#ifdef AVX512
const int num_cases = 3;
#else
const int num_cases = 2;
#endif
std::string fmt("G/S/C ; G/O/C ; G/S/S ; G/O/S ");
controls Cases [] = {
{ WilsonKernelsStatic::OptGeneric , WilsonKernelsStatic::CommsAndCompute ,CartesianCommunicator::CommunicatorPolicyConcurrent }
{ WilsonKernelsStatic::OptGeneric , WilsonKernelsStatic::CommsAndCompute ,CartesianCommunicator::CommunicatorPolicyConcurrent },
{ WilsonKernelsStatic::OptHandUnroll, WilsonKernelsStatic::CommsAndCompute ,CartesianCommunicator::CommunicatorPolicyConcurrent },
{ WilsonKernelsStatic::OptInlineAsm , WilsonKernelsStatic::CommsAndCompute ,CartesianCommunicator::CommunicatorPolicyConcurrent }
};
for(int c=0;c<num_cases;c++) {
@ -469,6 +475,10 @@ public:
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
if ( WilsonKernelsStatic::Opt == WilsonKernelsStatic::OptGeneric ) std::cout << GridLogMessage<< "* Using GENERIC Nc WilsonKernels" <<std::endl;
if ( WilsonKernelsStatic::Opt == WilsonKernelsStatic::OptInlineAsm ) std::cout << GridLogMessage<< "* Using ASM WilsonKernels" <<std::endl;
if ( WilsonKernelsStatic::Opt == WilsonKernelsStatic::OptHandUnroll) std::cout << GridLogMessage<< "* Using UNROLLED WilsonKernels" <<std::endl;
if ( WilsonKernelsStatic::Comms == WilsonKernelsStatic::CommsAndCompute ) std::cout << GridLogMessage<< "* Using Overlapped Comms/Compute" <<std::endl;
if ( WilsonKernelsStatic::Comms == WilsonKernelsStatic::CommsThenCompute) std::cout << GridLogMessage<< "* Using sequential Comms/Compute" <<std::endl;
std::cout << GridLogMessage<< "* SINGLE precision "<<std::endl;
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
@ -614,11 +624,13 @@ public:
pickCheckerboard(Even,src_e,src);
pickCheckerboard(Odd,src_o,src);
const int num_cases = 1;
const int num_cases = 2;
std::string fmt("G/S/C ; G/O/C ; G/S/S ; G/O/S ");
controls Cases [] = {
{ StaggeredKernelsStatic::OptGeneric , StaggeredKernelsStatic::CommsAndCompute ,CartesianCommunicator::CommunicatorPolicyConcurrent },
{ StaggeredKernelsStatic::OptHandUnroll, StaggeredKernelsStatic::CommsAndCompute ,CartesianCommunicator::CommunicatorPolicyConcurrent },
{ StaggeredKernelsStatic::OptInlineAsm , StaggeredKernelsStatic::CommsAndCompute ,CartesianCommunicator::CommunicatorPolicyConcurrent }
};
for(int c=0;c<num_cases;c++) {
@ -847,11 +859,8 @@ int main (int argc, char ** argv)
}
CartesianCommunicator::SetCommunicatorPolicy(CartesianCommunicator::CommunicatorPolicySequential);
#ifdef KNL
LebesgueOrder::Block = std::vector<int>({8,2,2,2});
#else
LebesgueOrder::Block = std::vector<int>({2,2,2,2});
#endif
Benchmark::Decomposition();
int do_su4=0;
@ -910,7 +919,7 @@ int main (int argc, char ** argv)
}
if ( do_blas ) {
#if defined(GRID_CUDA) || defined(GRID_HIP)
#if defined(GRID_CUDA) || defined(GRID_HIP) || defined(GRID_SYCL)
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
std::cout<<GridLogMessage << " Batched BLAS benchmark " <<std::endl;
std::cout<<GridLogMessage << "=================================================================================="<<std::endl;

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@ -25,12 +25,16 @@ export MPIR_CVAR_CH4_OFI_ENABLE_GPU_PIPELINE=1
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_D2H_ENGINE_TYPE=0
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_H2D_ENGINE_TYPE=0
export MPIR_CVAR_GPU_USE_IMMEDIATE_COMMAND_LIST=1
#export MPIR_CVAR_GPU_USE_IMMEDIATE_COMMAND_LIST=1
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_BUFFER_SZ=1048576
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_THRESHOLD=131072
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_NUM_BUFFERS_PER_CHUNK=16
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_MAX_NUM_BUFFERS=16
export MPICH_OFI_NIC_POLICY=GPU
export FI_CXI_CQ_FILL_PERCENT=10
export FI_CXI_DEFAULT_CQ_SIZE=262144
#export FI_CXI_DEFAULT_CQ_SIZE=131072
#export FI_CXI_CQ_FILL_PERCENT=20
# 12 ppn, 32 nodes, 384 ranks
#
@ -45,12 +49,12 @@ CMD="mpiexec -np 12288 -ppn 12 -envall \
./gpu_tile_compact.sh \
./Benchmark_dwf_fp32 --mpi 8.8.8.24 --grid 128.128.128.384 \
--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32 --comms-overlap"
$CMD | tee 1024node.dwf.small
$CMD | tee 1024node.dwf.small.cq
CMD="mpiexec -np 12288 -ppn 12 -envall \
./gpu_tile_compact.sh \
./Benchmark_dwf_fp32 --mpi 16.8.8.12 --grid 256.256.256.384 \
--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32 --comms-overlap"
$CMD | tee 1024node.dwf
$CMD | tee 1024node.dwf.cq

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@ -17,6 +17,7 @@ source ../sourceme.sh
export OMP_NUM_THREADS=3
export MPIR_CVAR_CH4_OFI_ENABLE_GPU_PIPELINE=1
#unset MPIR_CVAR_CH4_OFI_GPU_PIPELINE_D2H_ENGINE_TYPE
#unset MPIR_CVAR_CH4_OFI_GPU_PIPELINE_H2D_ENGINE_TYPE
#unset MPIR_CVAR_GPU_USE_IMMEDIATE_COMMAND_LIST
@ -35,11 +36,25 @@ CMD="mpiexec -np 24 -ppn 12 -envall \
./Benchmark_comms_host_device --mpi 2.3.2.2 --grid 32.24.32.192 \
--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32"
$CMD
#$CMD
CMD="mpiexec -np 24 -ppn 12 -envall \
./gpu_tile_compact.sh \
./Benchmark_dwf_fp32 --mpi 2.3.2.2 --grid 64.96.64.64 --comms-overlap \
--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32"
#$CMD
CMD="mpiexec -np 1 -ppn 1 -envall \
./gpu_tile_compact.sh \
./Benchmark_dwf --mpi 1.1.1.1 --grid 16.32.32.32 --comms-sequential \
--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32"
$CMD
CMD="mpiexec -np 1 -ppn 1 -envall \
./gpu_tile_compact.sh \
./Benchmark_dwf_fp32 --mpi 1.1.1.1 --grid 16.32.32.32 --comms-sequential \
--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32"
$CMD

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@ -11,6 +11,6 @@ TOOLS=$HOME/tools
--enable-unified=no \
MPICXX=mpicxx \
CXX=icpx \
LDFLAGS="-fiopenmp -fsycl -fsycl-device-code-split=per_kernel -fsycl-device-lib=all -lze_loader -L$TOOLS/lib64/" \
CXXFLAGS="-fiopenmp -fsycl-unnamed-lambda -fsycl -I$INSTALL/include -Wno-tautological-compare -I$HOME/ -I$TOOLS/include"
LDFLAGS="-fiopenmp -fsycl -fsycl-device-code-split=per_kernel -fsycl-device-lib=all -lze_loader -L$TOOLS/lib64/ -L${MKLROOT}/lib -qmkl=parallel " \
CXXFLAGS="-fiopenmp -fsycl-unnamed-lambda -fsycl -I$INSTALL/include -Wno-tautological-compare -I$HOME/ -I$TOOLS/include -qmkl=parallel"

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@ -3,6 +3,19 @@
module use /soft/modulefiles
module load intel_compute_runtime/release/agama-devel-682.22
export FI_CXI_DEFAULT_CQ_SIZE=131072
export FI_CXI_CQ_FILL_PERCENT=20
export SYCL_PROGRAM_COMPILE_OPTIONS="-ze-opt-large-register-file"
#export SYCL_PROGRAM_COMPILE_OPTIONS="-ze-intel-enable-auto-large-GRF-mode"
#
# -ftarget-register-alloc-mode=pvc:default
# -ftarget-register-alloc-mode=pvc:small
# -ftarget-register-alloc-mode=pvc:large
# -ftarget-register-alloc-mode=pvc:auto
#
export HTTP_PROXY=http://proxy.alcf.anl.gov:3128
export HTTPS_PROXY=http://proxy.alcf.anl.gov:3128
export http_proxy=http://proxy.alcf.anl.gov:3128

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@ -0,0 +1,40 @@
#!/bin/bash
## qsub -q EarlyAppAccess -A Aurora_Deployment -I -l select=1 -l walltime=60:00
#PBS -q EarlyAppAccess
#PBS -l select=16
#PBS -l walltime=01:00:00
#PBS -A LatticeQCD_aesp_CNDA
#export OMP_PROC_BIND=spread
#unset OMP_PLACES
cd $PBS_O_WORKDIR
source ../sourceme.sh
cat $PBS_NODEFILE
export OMP_NUM_THREADS=3
export MPIR_CVAR_CH4_OFI_ENABLE_GPU_PIPELINE=1
#unset MPIR_CVAR_CH4_OFI_GPU_PIPELINE_D2H_ENGINE_TYPE
#unset MPIR_CVAR_CH4_OFI_GPU_PIPELINE_H2D_ENGINE_TYPE
#unset MPIR_CVAR_GPU_USE_IMMEDIATE_COMMAND_LIST
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_D2H_ENGINE_TYPE=0
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_H2D_ENGINE_TYPE=0
export MPIR_CVAR_GPU_USE_IMMEDIATE_COMMAND_LIST=1
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_BUFFER_SZ=1048576
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_THRESHOLD=131072
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_NUM_BUFFERS_PER_CHUNK=16
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_MAX_NUM_BUFFERS=16
export MPICH_OFI_NIC_POLICY=GPU
# 12 ppn, 16 nodes, 192 ranks
CMD="mpiexec -np 192 -ppn 12 -envall \
./gpu_tile_compact.sh \
./Test_dwf_mixedcg_prec --mpi 2.4.4.6 --grid 64.128.128.192 \
--shm-mpi 1 --shm 4096 --device-mem 32000 --accelerator-threads 32 --seconds 3000"
$CMD

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@ -0,0 +1,40 @@
#!/bin/bash
## qsub -q EarlyAppAccess -A Aurora_Deployment -I -l select=1 -l walltime=60:00
#PBS -q EarlyAppAccess
#PBS -l select=16
#PBS -l walltime=01:00:00
#PBS -A LatticeQCD_aesp_CNDA
#export OMP_PROC_BIND=spread
#unset OMP_PLACES
cd $PBS_O_WORKDIR
source ../../sourceme.sh
cat $PBS_NODEFILE
export OMP_NUM_THREADS=3
export MPIR_CVAR_CH4_OFI_ENABLE_GPU_PIPELINE=1
#unset MPIR_CVAR_CH4_OFI_GPU_PIPELINE_D2H_ENGINE_TYPE
#unset MPIR_CVAR_CH4_OFI_GPU_PIPELINE_H2D_ENGINE_TYPE
#unset MPIR_CVAR_GPU_USE_IMMEDIATE_COMMAND_LIST
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_D2H_ENGINE_TYPE=0
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_H2D_ENGINE_TYPE=0
export MPIR_CVAR_GPU_USE_IMMEDIATE_COMMAND_LIST=1
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_BUFFER_SZ=1048576
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_THRESHOLD=131072
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_NUM_BUFFERS_PER_CHUNK=16
export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_MAX_NUM_BUFFERS=16
export MPICH_OFI_NIC_POLICY=GPU
# 12 ppn, 16 nodes, 192 ranks
CMD="mpiexec -np 192 -ppn 12 -envall \
./gpu_tile_compact.sh \
./Test_staggered_cg_prec --mpi 2.4.4.6 --grid 128.128.128.192 \
--shm-mpi 1 --shm 4096 --device-mem 32000 --accelerator-threads 32 --seconds 3000"
$CMD

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@ -30,27 +30,16 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
using namespace std;
using namespace Grid;
template<class d>
struct scal {
d internal;
};
Gamma::Algebra Gmu [] = {
Gamma::Algebra::GammaX,
Gamma::Algebra::GammaY,
Gamma::Algebra::GammaZ,
Gamma::Algebra::GammaT
};
int main (int argc, char ** argv)
{
char hostname[HOST_NAME_MAX+1];
gethostname(hostname, HOST_NAME_MAX+1);
std::string host(hostname);
Grid_init(&argc,&argv);
const int Ls=12;
std::cout << GridLogMessage << "::::: NB: to enable a quick bit reproducibility check use the --checksums flag. " << std::endl;
{
GridCartesian * UGrid = SpaceTimeGrid::makeFourDimGrid(GridDefaultLatt(), GridDefaultSimd(Nd,vComplexD::Nsimd()),GridDefaultMpi());
GridRedBlackCartesian * UrbGrid = SpaceTimeGrid::makeFourDimRedBlackGrid(UGrid);
GridCartesian * FGrid = SpaceTimeGrid::makeFiveDimGrid(Ls,UGrid);
@ -92,7 +81,14 @@ int main (int argc, char ** argv)
SchurDiagMooeeOperator<DomainWallFermionD,LatticeFermionD> HermOpEO(Ddwf);
SchurDiagMooeeOperator<DomainWallFermionF,LatticeFermionF> HermOpEO_f(Ddwf_f);
std::cout << GridLogMessage << "::::::::::::: Starting mixed CG" << std::endl;
int nsecs=600;
if( GridCmdOptionExists(argv,argv+argc,"--seconds") ){
std::string arg = GridCmdOptionPayload(argv,argv+argc,"--seconds");
GridCmdOptionInt(arg,nsecs);
}
std::cout << GridLogMessage << "::::::::::::: Starting mixed CG for "<<nsecs <<" seconds" << std::endl;
MixedPrecisionConjugateGradient<LatticeFermionD,LatticeFermionF> mCG(1.0e-8, 10000, 50, FrbGrid_f, HermOpEO_f, HermOpEO);
double t1,t2,flops;
double MdagMsiteflops = 1452; // Mobius (real coeffs)
@ -101,7 +97,14 @@ int main (int argc, char ** argv)
std:: cout << " MdagM site flops = "<< 4*MdagMsiteflops<<std::endl;
std:: cout << " CG site flops = "<< CGsiteflops <<std::endl;
int iters;
for(int i=0;i<10;i++){
time_t start = time(NULL);
uint32_t csum, csumref;
csumref=0;
int iter=0;
do {
std::cerr << "******************* SINGLE PRECISION SOLVE "<<iter<<std::endl;
result_o = Zero();
t1=usecond();
mCG(src_o,result_o);
@ -111,10 +114,28 @@ int main (int argc, char ** argv)
flops+= CGsiteflops*FrbGrid->gSites()*iters;
std::cout << " SinglePrecision iterations/sec "<< iters/(t2-t1)*1000.*1000.<<std::endl;
std::cout << " SinglePrecision GF/s "<< flops/(t2-t1)/1000.<<std::endl;
}
std::cout << GridLogMessage << "::::::::::::: Starting regular CG" << std::endl;
csum = crc(result_o);
if ( csumref == 0 ) {
csumref = csum;
} else {
if ( csum != csumref ) {
std::cerr << host<<" FAILURE " <<iter <<" csum "<<std::hex<<csum<< " != "<<csumref <<std::dec<<std::endl;
assert(0);
} else {
std::cout << host <<" OK " <<iter <<" csum "<<std::hex<<csum<<std::dec<<" -- OK! "<<std::endl;
}
}
iter ++;
} while (time(NULL) < (start + nsecs/2) );
std::cout << GridLogMessage << "::::::::::::: Starting double precision CG" << std::endl;
ConjugateGradient<LatticeFermionD> CG(1.0e-8,10000);
for(int i=0;i<1;i++){
csumref=0;
int i=0;
do {
std::cerr << "******************* DOUBLE PRECISION SOLVE "<<i<<std::endl;
result_o_2 = Zero();
t1=usecond();
CG(HermOpEO,src_o,result_o_2);
@ -122,46 +143,30 @@ int main (int argc, char ** argv)
iters = CG.IterationsToComplete;
flops = MdagMsiteflops*4*FrbGrid->gSites()*iters;
flops+= CGsiteflops*FrbGrid->gSites()*iters;
std::cout << " DoublePrecision iterations/sec "<< iters/(t2-t1)*1000.*1000.<<std::endl;
std::cout << " DoublePrecision GF/s "<< flops/(t2-t1)/1000.<<std::endl;
}
// MemoryManager::Print();
csum = crc(result_o);
if ( csumref == 0 ) {
csumref = csum;
} else {
if ( csum != csumref ) {
std::cerr << i <<" csum "<<std::hex<<csum<< " != "<<csumref <<std::dec<<std::endl;
assert(0);
} else {
std::cout << i <<" csum "<<std::hex<<csum<<std::dec<<" -- OK! "<<std::endl;
}
}
i++;
} while (time(NULL) < (start + nsecs) );
LatticeFermionD diff_o(FrbGrid);
RealD diff = axpy_norm(diff_o, -1.0, result_o, result_o_2);
std::cout << GridLogMessage << "::::::::::::: Diff between mixed and regular CG: " << diff << std::endl;
#ifdef HAVE_LIME
if( GridCmdOptionExists(argv,argv+argc,"--checksums") ){
assert(diff < 1e-4);
std::string file1("./Propagator1");
emptyUserRecord record;
uint32_t nersc_csum;
uint32_t scidac_csuma;
uint32_t scidac_csumb;
typedef SpinColourVectorD FermionD;
typedef vSpinColourVectorD vFermionD;
BinarySimpleMunger<FermionD,FermionD> munge;
std::string format = getFormatString<vFermionD>();
BinaryIO::writeLatticeObject<vFermionD,FermionD>(result_o,file1,munge, 0, format,
nersc_csum,scidac_csuma,scidac_csumb);
std::cout << GridLogMessage << " Mixed checksums "<<std::hex << scidac_csuma << " "<<scidac_csumb<<std::endl;
BinaryIO::writeLatticeObject<vFermionD,FermionD>(result_o_2,file1,munge, 0, format,
nersc_csum,scidac_csuma,scidac_csumb);
std::cout << GridLogMessage << " CG checksums "<<std::hex << scidac_csuma << " "<<scidac_csumb<<std::endl;
}
#endif
}
MemoryManager::Print();
Grid_finalize();
}